| 赵正佳,黄洪钟.随机神经网络优化方法及其计算机仿真[J].计算力学学报,2001,18(2):242~245 |
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| 随机神经网络优化方法及其计算机仿真 |
| Method of stochastic neural network method for structural optimization problem and its computer simulation |
| 修订日期：1999-06-29 |
| DOI：10.7511/jslx20012047 |
| 中文关键词: 计算智能 神经网络 随机搜索 优化设计 结构优化 计算机仿真 |
| 英文关键词:computing intellgence,neural network,random search,optimum design |
| 基金项目:国家自然基金!( 596850 0 3 )，四川省跨世纪杰出青年学科带头人培养基金资助项目 |
| 赵正佳 黄洪钟 |
| [1]西南交通大学机械工程研究所，成都610031 [2]大连理工大学机械工程学院，大连116023 |
| 摘要点击次数: 1439 |
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| 中文摘要: |
| 研究了结构优化问题求解的随机神经网络方法，可较好地克服Hopfield网络方法容量陷入局部解的缺点，针对实例，对随机神经网络和Hopfield网络进行了动态仿真，直观地给出了两种网络的动态并行运行，能量函数的动态变化过程及两种网络的全局性的差异，同时也仿真出了网络并行运行至稳定优化解的时间。 |
| 英文摘要: |
| The method of stochastic neural Network to solve structural optimization problem is presented, which can overcome the shortcoming of local solution of Hopfield model. For two example problem, computer simulation, which is made for stochastic Neural Network and Hopfield model, shows the two kinds of model's parallel moving behavior, computation energy's dynamic changing and the two kinds of model's difference of globability. Simulation also obtains the time, which is taken to move to the stable solution by the two kinds of model. |
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